During her invited address at AN18, Danielle Bassett illustrated how brains map concepts and construct knowledge networks.
The Fluorescent Ubiquitination-based Cell Cycle Indicator (FUCCI) enables real-time analysis of the cell cycle.
Naomi Leonard identifies the fundamentals of bio-inspired design for collective decision-making in animal groups.
At its December meeting, the SIAM Board of Trustees took many significant actions of interest to members.
Dynamical systems and perturbation theory help analyze stochastic epidemiological models with seasonal forcing.
The 2018 Gene Golub SIAM Summer School explored systematic integration of data with models under uncertainty.
The National Science and Technology Council recently released the federal government’s five-year strategic plan for STEM education.
A forward-looking panel on emerging topics attracted a sizable crowd at MPE18.
Paul Davis reviews Michael Lewis's "The Fifth Risk," which describes politics' impact on federal science.
Students looking for jobs in industry received advice about soft skills and transdisciplinary training during the Professional Development Evening at AN18.
Brown University’s Data Science Initiative is in its second year of running an NSF-funded TRIPODS institute.
Mark Levi explores what happens to the exit velocity when a bullet punctures a wall of two thin layers.
The SIAM/ACM Prize in Computational Science and Engineering and the James H. Wilkinson Prize for Numerical Software will be awarded at CSE19.
Each issue of SIAM Review contains the SIGEST section, which spotlights an outstanding paper of general interest.
Anyone who makes trial calculations with the \(3x+1\) function is struck by its seemingly chaotic behavior.
2017 / xxiv + 456 pages / softcover / ISBN 978-1-611975-19-2 / List Price $76.00 / SIAM Member Price $53.20 / Order Code: CL78
Keywords: elementary, algorithmic, numerical analysis, scientific computation
Preface to the Classics Edition;
Chapter 1: Number Systems and Errors;
Chapter 2: Interpolation by Polynomial;
Chapter 3: The Solution of Nonlinear Equations;
Chapter 4: Matrices and Systems of Linear Equations;
Chapter 5: Systems of Equations and Unconstrained Optimization;
Chapter 6: Approximation;
Chapter 7: Differentiation and Integration;
Chapter 8: The Solution of Differential Equations;
Chapter 9: Boundary Value Problems;
Appendix: Subroutine Libraries;
Appendix: New MATLAB Programs;
This book provides a thorough and careful introduction to the theory and practice of scientific computing at an elementary, yet rigorous, level, from theory via examples and algorithms to computer programs. The intended audience is upper-division undergraduates in engineering, mathematics, and the sciences, including computer science. The book has served well as a text book. The original FORTRAN programs have been rewritten in MATLAB and now appear in a new appendix and online, offering a modernized version of this classic reference for basic numerical algorithms.
About the Authors
Samuel D. Conte was a Professor of Computer Science and Mathematics at Purdue University. Starting in 1962, he led the Purdue Department of Computer Science for its first 17 years. Prior to that, Professor Conte served as the manager of the Math and Programming Department of the Aerospace Corporation, taught at Wayne State University, and was head of the Mathematics and Programming Departments at TRW Inc.
Carl de Boor is presently Professor emeritus of Mathematics and Computer Science at the University of Wisconsin-Madison and Affiliated Professor of Applied Mathematics at the University of Washington. His early work at the Mathematics Department of GM Research at Warren, MI led to his lifelong preoccupation with spline functions. He is the author of A Practical Guide to Splines and co-author of Box Splines. He is the recipient of the 2003 National Medal of Science in Mathematics and Computer Science in recognition of his contributions to scientific computing.